A comprehensive review of machine learning and IoT solutions for demand side energy management, conservation, and resilient operation
The energy consumption of major equipment in residential and industrial facilities can be
minimized through a variety of cost-effective energy-saving measures. Most saving …
minimized through a variety of cost-effective energy-saving measures. Most saving …
Feature extraction and analysis of natural language processing for deep learning English language
D Wang, J Su, H Yu - IEEE Access, 2020 - ieeexplore.ieee.org
NLP (Natural Language Processing) is a technology that enables computers to understand
human languages. Deep-level grammatical and semantic analysis usually uses words as …
human languages. Deep-level grammatical and semantic analysis usually uses words as …
Data poisoning attacks on neighborhood‐based recommender systems
L Chen, Y Xu, F Xie, M Huang… - Transactions on …, 2021 - Wiley Online Library
Nowadays, collaborative filtering recommender systems have been widely deployed in
many commercial companies to make profit. Neighborhood‐based collaborative filtering …
many commercial companies to make profit. Neighborhood‐based collaborative filtering …
Attentive multi-task learning for group itinerary recommendation
Tourism is one of the largest service industries and a popular leisure activity participated by
people with friends or family. A significant problem faced by the tourists is how to plan …
people with friends or family. A significant problem faced by the tourists is how to plan …
A survey and taxonomy on energy-aware data management strategies in cloud environment
X You, X Lv, Z Zhao, J Han, X Ren - IEEE Access, 2020 - ieeexplore.ieee.org
During the past ten years, the energy consumption problem in cloud-related environments
has attracted substantial attention in research and industrial communities. Researchers …
has attracted substantial attention in research and industrial communities. Researchers …
Edge detection algorithm of cancer image based on deep learning
X Li, H Jiao, Y Wang - Bioengineered, 2020 - Taylor & Francis
For the existing medical image edge detection algorithm image reconstruction accuracy is
not high, the fitness of optimization coefficient is low, resulting in the detection results of low …
not high, the fitness of optimization coefficient is low, resulting in the detection results of low …
An efficient identity-based proxy signcryption using lattice
H Zhu, Y Wang, C Wang, X Cheng - Future Generation Computer Systems, 2021 - Elsevier
Signcryption combines the functionalities of digital signature and encryption in a single step,
which promises to increase the efficiency and the confidentiality of on-line transactions …
which promises to increase the efficiency and the confidentiality of on-line transactions …
Intelligent traffic signal control based on reinforcement learning with state reduction for smart cities
Efficient signal control at isolated intersections is vital for relieving congestion, accidents,
and environmental pollution caused by increasing numbers of vehicles. However, most of …
and environmental pollution caused by increasing numbers of vehicles. However, most of …
Security analysis of CPS systems under different swapping strategies in IoT environments
In this paper, we give attention to the robustness of the Cyber-Physical System, which
consists of interdependent physical resources and computational resources. Numerous …
consists of interdependent physical resources and computational resources. Numerous …
Blockchain‐Enhanced Fair Task Scheduling for Cloud‐Fog‐Edge Coordination Environments: Model and Algorithm
The cloud‐fog‐edge hybrid system is the evolution of the traditional centralized cloud
computing model. Through the combination of different levels of resources, it is able to …
computing model. Through the combination of different levels of resources, it is able to …